I help teams and founders build AI agents and automations that actually solve real workflow problems instead of just being demos.
My background is in data engineering and analytics, so I focus on AI systems that are modular, scalable, and connected to real business data. I work with Python, LLMs, LangGraph, OpenAI APIs, and workflow automation tools to build agents that can extract insights, automate repetitive work, integrate APIs, and support decision-making.
I care a lot about clean, maintainable systems that won’t fall apart after a few weeks. When workflows evolve, models change, or better tools come out, I adapt the stack instead of forcing teams to rebuild from scratch.
I've also been automating my workflows with Claude Code and Codex.
Available for AI engineering, automation, and agentic workflow projects.
Website: -----------
Keywords: AI Engineer, Data Engineer, Data Scientist
TOOLS:
Programming Languages:
Python,
R, Scala, SQL, JavaScript
AI & ML Engineering:
LLM MODELS:
OpenAI,
Anthropic Claude,
Llama
FRAMEWORKS:
LangChain,
LangGraph, LangSmith, LangFuse
Pydantic, LlamaIndex, PyTorch,
TensorFlow
RAG & VECTOR DBs:
Pinecone,
Chroma,
Redis
CLOUD
Azure, AWS
Agents & Orchestration: Function
Calling, Agentic Workflows
Evaluation & Fine-tuning: RAGAS,
W&B, LoRA, RLHF, PEFT
DATA ENGINEERING:
Databricks, Azure, Snowflake
Tools: Airflow, AI Fabric, dbt,
DBDiagram, PySpark, Kafka
DATA SCIENCE:
Pandas, NumPy,
Scikit-Learn, Matplotlib, NLTK,
OpenCV, TensorFlow, Keras, PyTorch
AIOps / MLOps: Azure, AWS,
FastAPI, Docker, Kubernetes, GitHub
Actions, MLFlow, DVC, Git
Other Tools:
Looker, Power BI,
Tableau, MS Office/Google Suite